diff --git a/inference-engine/tests/functional/plugin/myriad/shared_tests_instances/single_layer_tests/interpolate.cpp b/inference-engine/tests/functional/plugin/myriad/shared_tests_instances/single_layer_tests/interpolate.cpp
index 3a6d57fd858163..3c7d701c09ef75 100644
--- a/inference-engine/tests/functional/plugin/myriad/shared_tests_instances/single_layer_tests/interpolate.cpp
+++ b/inference-engine/tests/functional/plugin/myriad/shared_tests_instances/single_layer_tests/interpolate.cpp
@@ -19,47 +19,45 @@ const std::vector<InferenceEngine::Precision> netPrecisions = {
 typedef std::map<std::string, std::string> Config;
 
 const std::vector<std::vector<size_t>> inShapes = {
-        {3, 8, 38, 38},
-        {3, 8, 36, 36},
-        {3, 8, 35, 35},
-        {3, 8, 6, 6},
-
-        {3, 8, 3, 3},
-        {3, 8, 4, 4},
-        {3, 8, 16, 16},
-        {3, 8, 31, 31},
-        {3, 8, 26, 26},
+        {2, 8, 35, 35},
 };
 
 const std::vector<std::vector<size_t>> targetShapes = {
-        {3, 8, 38 * 2, 38 * 2},
-        {3, 8, 70, 70},  // * 1.94
-        {3, 8, 46, 46},  // * 1.3
-        {3, 8, 9, 9},
-
-        {3, 8, 6, 6},
-        {3, 8, 3, 3},
-        {3, 8, 36, 36},
-        {3, 8, 72, 72},
-        {3, 8, 30, 30},
+        {2, 8, 46, 46},
 };
 
-const std::vector<std::vector<size_t>> inShapes2x = {
-        {5, 19, 37, 37},
+const std::vector<std::vector<size_t>> inShapesNoBatch = {
+        {1, 8, 6, 6},
 };
 
-const std::vector<std::vector<size_t>> targetShapes2x = {
-        {5, 19, 37 * 2, 37 * 2},
+const std::vector<std::vector<size_t>> targetShapesNoBatch = {
+        {1, 8, 12, 12},
 };
 
-const std::vector<std::vector<size_t>> inShapesNoBatch = {
-        {1, 8, 38, 38},
-        {1, 8, 36, 36},
+const std::vector<std::vector<size_t>> inShapesNightly = {
+        {2, 8, 38, 38},
+        {2, 8, 3, 3},
+        {2, 8, 4, 4},
+        {2, 8, 16, 16},
+        {2, 8, 31, 31},
+        {2, 8, 26, 26},
 };
 
-const std::vector<std::vector<size_t>> targetShapesNoBatch = {
-        {1, 8, 38 * 2, 38 * 2},
-        {1, 8, 70, 70},  // * 1.94
+const std::vector<std::vector<size_t>> targetShapesNightly = {
+        {2, 8, 38 * 2, 38 * 2},
+        {2, 8, 6, 6},
+        {2, 8, 3, 3},
+        {2, 8, 36, 36},
+        {2, 8, 72, 72},
+        {2, 8, 30, 30},
+};
+
+const std::vector<std::vector<size_t>> inShapes2x = {
+        {2, 19, 37, 37},
+};
+
+const std::vector<std::vector<size_t>> targetShapes2x = {
+        {2, 19, 37 * 2, 37 * 2},
 };
 
 const std::vector<ngraph::op::v4::Interpolate::InterpolateMode> modesWithoutNearest = {
@@ -181,19 +179,6 @@ const auto interpolateCasesWithoutNearestMode = ::testing::Combine(
         ::testing::ValuesIn(defaultAxes),
         ::testing::ValuesIn(defaultScales));
 
-INSTANTIATE_TEST_CASE_P(smoke_Interpolate_nearest_mode_2x, InterpolateLayerTest, ::testing::Combine(
-        interpolateCasesNearestMode2x,
-        ::testing::ValuesIn(netPrecisions),
-        ::testing::Values(InferenceEngine::Precision::UNSPECIFIED),
-        ::testing::Values(InferenceEngine::Precision::UNSPECIFIED),
-        ::testing::Values(InferenceEngine::Layout::ANY),
-        ::testing::Values(InferenceEngine::Layout::ANY),
-        ::testing::ValuesIn(inShapes2x),
-        ::testing::ValuesIn(targetShapes2x),
-        ::testing::Values(CommonTestUtils::DEVICE_MYRIAD),
-        ::testing::Values(Config{{InferenceEngine::MYRIAD_DETECT_NETWORK_BATCH, CONFIG_VALUE(NO)}})),
-    InterpolateLayerTest::getTestCaseName);
-
 INSTANTIATE_TEST_CASE_P(smoke_Interpolate_nearest_mode_no_batch, InterpolateLayerTest, ::testing::Combine(
         interpolateCasesNearestMode,
         ::testing::ValuesIn(netPrecisions),
@@ -259,4 +244,30 @@ INSTANTIATE_TEST_CASE_P(smoke_Interpolate_without_nearest, InterpolateLayerTest,
         ::testing::Values(Config{{InferenceEngine::MYRIAD_DETECT_NETWORK_BATCH, CONFIG_VALUE(NO)}})),
     InterpolateLayerTest::getTestCaseName);
 
+INSTANTIATE_TEST_CASE_P(nightly_Interpolate_without_nearest, InterpolateLayerTest, ::testing::Combine(
+        interpolateCasesWithoutNearestMode,
+        ::testing::ValuesIn(netPrecisions),
+        ::testing::Values(InferenceEngine::Precision::UNSPECIFIED),
+        ::testing::Values(InferenceEngine::Precision::UNSPECIFIED),
+        ::testing::Values(InferenceEngine::Layout::ANY),
+        ::testing::Values(InferenceEngine::Layout::ANY),
+        ::testing::ValuesIn(inShapesNightly),
+        ::testing::ValuesIn(targetShapesNightly),
+        ::testing::Values(CommonTestUtils::DEVICE_MYRIAD),
+        ::testing::Values(Config{{InferenceEngine::MYRIAD_DETECT_NETWORK_BATCH, CONFIG_VALUE(NO)}})),
+    InterpolateLayerTest::getTestCaseName);
+
+INSTANTIATE_TEST_CASE_P(nightly_Interpolate_nearest_mode_2x, InterpolateLayerTest, ::testing::Combine(
+        interpolateCasesNearestMode2x,
+        ::testing::ValuesIn(netPrecisions),
+        ::testing::Values(InferenceEngine::Precision::UNSPECIFIED),
+        ::testing::Values(InferenceEngine::Precision::UNSPECIFIED),
+        ::testing::Values(InferenceEngine::Layout::ANY),
+        ::testing::Values(InferenceEngine::Layout::ANY),
+        ::testing::ValuesIn(inShapes2x),
+        ::testing::ValuesIn(targetShapes2x),
+        ::testing::Values(CommonTestUtils::DEVICE_MYRIAD),
+        ::testing::Values(Config{{InferenceEngine::MYRIAD_DETECT_NETWORK_BATCH, CONFIG_VALUE(NO)}})),
+    InterpolateLayerTest::getTestCaseName);
+
 } // namespace